Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Katia M Passera"'
Autor:
Marco Solbiati, Riccardo Muglia, S. Nahum Goldberg, Tiziana Ierace, Alessandro Rotilio, Katia M Passera, Ilaria Marre, Luigi Solbiati
Publikováno v:
International Journal of Hyperthermia, Vol 36, Iss 1, Pp 336-342 (2019)
Purpose: To retrospectively evaluate the accuracy of a novel software platform for assessing completeness of percutaneous thermal ablations. Materials & methods: Ninety hepatocellular carcinomas (HCCs) in 50 patients receiving percutaneous ultrasound
Externí odkaz:
https://doaj.org/article/5acb11271d074347b91981677ab37f47
Autor:
Marco Solbiati, Tiziana Ierace, Riccardo Muglia, Vittorio Pedicini, Roberto Iezzi, Katia M. Passera, Alessandro C. Rotilio, S. Nahum Goldberg, Luigi A. Solbiati
Publikováno v:
Cancers; Volume 14; Issue 5; Pages: 1312
Background: Over the last two decades, augmented reality (AR) has been used as a visualization tool in many medical fields in order to increase precision, limit the radiation dose, and decrease the variability among operators. Here, we report the fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9c61deab78ea5b1862621fef4ce03b5
Autor:
Alessandro Rotilio, Katia M. Passera, Ilaria Marre, S. Nahum Goldberg, Tiziana Ierace, Luigi Solbiati, Riccardo Muglia, Marco Solbiati
Publikováno v:
International Journal of Hyperthermia, Vol 36, Iss 1, Pp 336-342 (2019)
Purpose: To retrospectively evaluate the accuracy of a novel software platform for assessing completeness of percutaneous thermal ablations. Materials & methods: Ninety hepatocellular carcinomas (HCCs) in 50 patients receiving percutaneous ultrasound
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e858d96bb12bcce9eb175a2fd3fe9b4
https://doi.org/10.1080/02656736.2019.1569267
https://doi.org/10.1080/02656736.2019.1569267
Autor:
Alessandro Rotilio, Marco Solbiati, Luigi Solbiati, Dario Poretti, S. Nahum Goldberg, Tiziana Ierace, Vittorio Pedicini, Katia M. Passera
Publikováno v:
Cardiovascular and Interventional Radiology
Aim To evaluate a novel contrast-enhanced cone-beam computed tomography (CE-CBCT) registration method for accurate immediate assessment of ablation outcomes. Materials and Methods Contrast-enhanced computed tomography (CECT) was registered with CE-CB
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6d68aa51dbd1cbcb226256b04dda083
https://doi.org/10.1007/s00270-018-1909-0
https://doi.org/10.1007/s00270-018-1909-0
Autor:
Marco Solbiati, Katia M. Passera, Francesco Oliva, Ilaria Marre, Tiziana Ierace, Alessandro Rotilio, S. Nahum Goldberg, Luigi Solbiati
Publikováno v:
European Radiology Experimental
Background To assess the feasibility of a novel system that uses augmented reality to guide interventional oncology procedures. Methods This study was conducted in accordance to the guidelines of the local institutional review boards. Evaluation of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64dffaed4616e273b193547d07a83b6d
https://doi.org/10.1186/s41747-018-0054-5
https://doi.org/10.1186/s41747-018-0054-5
Autor:
Paolo Lago, Katia M. Passera, Lorenzo Magrassi, Luca Mainardi, Maria Ida Iacono, Stefano Bastianello
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 3:571-579
To introduce a novel approach for the monitoring of glioma evolution by the extraction of mathematical parameters from follow-up MRI. The method consists of the registration of follow-up MR images and the analysis of the deformation field. The regist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9afc9411dce7679656960a34837cfb6b
https://doi.org/10.1007/s11548-008-0263-0
https://doi.org/10.1007/s11548-008-0263-0
Autor:
Giovanna Trecate, E. Setti, Daniele Vergnaghi, Sergio Cerutti, Renato Musumeci, Luca Mainardi, Katia M. Passera, Agnese Lucesoli
Publikováno v:
Journal of Digital Imaging. 21:27-36
In this paper, a fast, slice-by-slice, nonrigid registration algorithm of dynamic magnetic resonance breast images is presented. The method is based on a multiresolution motion estimation of the breast using complex discrete wavelet transform (CDWT):
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea41577bc6cdfd2cb688144340709f0a
https://doi.org/10.1007/s10278-007-9021-z
https://doi.org/10.1007/s10278-007-9021-z
Autor:
Katia M. Passera, Eloisa Arbustini, Maria Ida Iacono, Lorenzo Magrassi, Paolo Lago, Luca Mainardi, Roberto Dore
Publikováno v:
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
In this paper we reported a novel method to detect and quantify dural ectasia in Marfan syndrome. Firstly, the dural sacs of 8 Marfan patients were segmented by applying an unsupervised Fuzzy C-Means method on T2-weighed magnetic resonance images. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1068dd5c777f568123186194e7c44e5
https://doi.org/10.1109/iembs.2009.5332525
https://doi.org/10.1109/iembs.2009.5332525
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2008
In this paper, a semi-automatic segmentation method for volume assessment of Intestinal-type adenocarcinoma (ITAC) is presented and validated. The method is based on a Gaussian hidden Markov random field (GHMRF) model that represents an advanced vers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1972f57c05a6777f0a3c7f8234b8e771
https://pubmed.ncbi.nlm.nih.gov/19162885
https://pubmed.ncbi.nlm.nih.gov/19162885
Autor:
Maria Ida Iacono, Eloisa Arbustini, Luca Mainardi, Lorenzo Magrassi, Roberto Dore, Paolo Lago, Katia M. Passera
Publikováno v:
IFMBE Proceedings ISBN: 9783642038815
In this paper an automatic segmentation algorithm and a surface rendering technique for volumetric analysis of dural ectasia are presented. The segmentation algorithm, based on an unsupervised Fuzzy C-Means method, was applied on T2-weighed Magnetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9241695813fa23bcde5ecf4848aa4ea
https://doi.org/10.1007/978-3-642-03882-2_240
https://doi.org/10.1007/978-3-642-03882-2_240
